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ACM Multimedia 2025Industrial Demonstrations and Expert Talks

Google Industry Seminar: Video Processing in the New Age of AI

Balu Adsumilli, Jianle Chen, In Suk Chong, Yilin Wang 0001

PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.1145/3746027.3764195 ↗

摘要

Video processing and compression are being re-envisioned in the age of AI. Traditional video codecs, which rely on rigid, pre-defined rules, are being augmented and, in some cases, replaced by AI-driven approaches. These new methods leverage machine learning to intelligently analyze video content, allowing for more adaptive and efficient compression. We are going to discuss AOM's new codec AV2, its low- and high-level features that enable significantly smaller file sizes with no perceptible loss in quality, a crucial development for streaming and storage. The shift to AI has also transformed how we evaluate video quality. Traditional metrics, while directionally useful, don't always align with human perception, especially for user generated content (UGC). They fail to capture what's most important for machine vision tasks. We will talk about new AI-based quality metrics that are being developed. They correlate better with a human's subjective experience and a machine's ability to perform tasks like object recognition. Along the way, we'll cover large scale industrial infrastructure challenges and the ways to achieve high reliability and accuracy.